Computer Engineer at Department of Geographical Sciences at the University of Maryland
College Park, Maryland, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Jordan C is a senior computer engineer specializing in machine learning, HPC, and geospatial AI with nine years of experience architecting GPU-accelerated systems and operational ML pipelines at NASA Goddard. He builds and deploys large-scale Earth and planetary intelligence platforms—spanning on-prem supercomputers to AWS/Azure—optimizing inference runtimes (Triton, ONNX) and secure containerized workflows. His PhD research combines spatio-temporal transformers, physics-aware models, and multi-source satellite fusion to produce operational wildfire and lightning forecasts at kilometer-scale and multi-day lead times. Equally fluent in DevSecOps and MLOps, he codified zero-trust CI/CD and observability for petabyte-scale science stacks while mentoring the next generation of practitioners. Beyond the lab, he has translated domain research into production-grade tooling and teaching, making high-performance AI accessible to both mission teams and learners.
9 years of coding experience
4 years of employment as a software developer
High School, 4.00 GPA, High School, 4.00 GPA at Petra Mercado Bougart High School
Doctor of Philosophy - PhD, Geographical Sciences, 4.0, Doctor of Philosophy - PhD, Geographical Sciences, 4.0 at University of Maryland
Bachellor Degree, Computational Mathematics, 3.91 GPA, Bachellor Degree, Computational Mathematics, 3.91 GPA at Universidad de Puerto Rico
Contributions:11 releases, 39 PRs, 73 pushes in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Jordan C - Computer Engineer at Department of Geographical Sciences at the University of Maryland